Fast content-aware image resizing scheme in the compressed domain

Since consumer devices have different resolution sizes of display panels, digital images are frequently required to be resized for each display adaptation. In this paper, we define DCT-based distortion measures to quantitatively evaluate both scaling distortion and shape distortion generated by downsizing. By utilizing the distortion measures, we propose a novel content-aware image retargeting algorithm. The proposed algorithm can not only satisfy demands of users without the loss of semantic information in images but also is computationally efficient since the digital images are typically stored in DCT-based compression format. Experimental results show that the proposed method can achieve higher subjective quality with significantly reduced computational loads as compared with existing methods.